





"""simple docstring"""





import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


SCREAMING_SNAKE_CASE__   =  logging.getLogger(__name__)

class 						lowercase   (   _UpperCAmelCase   ):





      def __init__(			self ,		lowercase=-1					)						->	List[Any]:
            # in NER datasets, the last column is usually reserved for NER label
            lowerCAmelCase    		=			label_idx





      def        _snake_case     (			self ,		lowercase ,		lowercase					)						->	List[InputExample]:
            if isinstance(lowercase ,		lowercase					):
                  lowerCAmelCase    		=			mode.value
            lowerCAmelCase    		=			os.path.join(lowercase ,		f'{mode}.txt'					)
            lowerCAmelCase    		=			1
            lowerCAmelCase    		=			[]
            with open(lowercase ,		encoding="""utf-8"""					) as f:
                  lowerCAmelCase    		=			[]
                  lowerCAmelCase    		=			[]
                  for line in f:
                        if line.startswith("""-DOCSTART-"""					) or line == "" or line == "\n":
                              if words:
                                    examples.append(InputExample(guid=f'{mode}-{guid_index}' ,		words=lowercase ,		labels=lowercase					)					)
                                    guid_index += 1
                                    lowerCAmelCase    		=			[]
                                    lowerCAmelCase    		=			[]
                        else:
                              lowerCAmelCase    		=			line.split(""" """					)
                              words.append(splits[0]					)
                              if len(lowercase					) > 1:
                                    labels.append(splits[self.label_idx].replace("""\n""" ,		""""""					)					)
                              else:
                                    # Examples could have no label for mode = "test"
                                    labels.append("""O"""					)
                  if words:
                        examples.append(InputExample(guid=f'{mode}-{guid_index}' ,		words=lowercase ,		labels=lowercase					)					)
            return examples





      def        _snake_case     (			self ,		lowercase ,		lowercase ,		lowercase					)						->	int:
            lowerCAmelCase    		=			0
            for line in test_input_reader:
                  if line.startswith("""-DOCSTART-"""					) or line == "" or line == "\n":
                        writer.write(lowercase					)
                        if not preds_list[example_id]:
                              example_id += 1
                  elif preds_list[example_id]:
                        lowerCAmelCase    		=			line.split()[0] + """ """ + preds_list[example_id].pop(0					) + """\n"""
                        writer.write(lowercase					)
                  else:
                        logger.warning("""Maximum sequence length exceeded: No prediction for '%s'.""" ,		line.split()[0]					)





      def        _snake_case     (			self ,		lowercase					)						->	List[str]:
            if path:
                  with open(lowercase ,		"""r"""					) as f:
                        lowerCAmelCase    		=			f.read().splitlines()
                  if "O" not in labels:
                        lowerCAmelCase    		=			["""O"""] + labels
                  return labels
            else:
                  return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]







class 						lowercase   (   _UpperCAmelCase   ):





      def __init__(			self					)						->	Union[str, Any]:
            # in CONLL2003 dataset chunk column is second-to-last
            super().__init__(label_idx=-2					)





      def        _snake_case     (			self ,		lowercase					)						->	List[str]:
            if path:
                  with open(lowercase ,		"""r"""					) as f:
                        lowerCAmelCase    		=			f.read().splitlines()
                  if "O" not in labels:
                        lowerCAmelCase    		=			["""O"""] + labels
                  return labels
            else:
                  return [
                      "O",
                      "B-ADVP",
                      "B-INTJ",
                      "B-LST",
                      "B-PRT",
                      "B-NP",
                      "B-SBAR",
                      "B-VP",
                      "B-ADJP",
                      "B-CONJP",
                      "B-PP",
                      "I-ADVP",
                      "I-INTJ",
                      "I-LST",
                      "I-PRT",
                      "I-NP",
                      "I-SBAR",
                      "I-VP",
                      "I-ADJP",
                      "I-CONJP",
                      "I-PP",
                  ]







class 						lowercase   (   _UpperCAmelCase   ):





      def        _snake_case     (			self ,		lowercase ,		lowercase					)						->	List[InputExample]:
            if isinstance(lowercase ,		lowercase					):
                  lowerCAmelCase    		=			mode.value
            lowerCAmelCase    		=			os.path.join(lowercase ,		f'{mode}.txt'					)
            lowerCAmelCase    		=			1
            lowerCAmelCase    		=			[]

            with open(lowercase ,		encoding="""utf-8"""					) as f:
                  for sentence in parse_incr(lowercase					):
                        lowerCAmelCase    		=			[]
                        lowerCAmelCase    		=			[]
                        for token in sentence:
                              words.append(token["""form"""]					)
                              labels.append(token["""upos"""]					)
                        assert len(lowercase					) == len(lowercase					)
                        if words:
                              examples.append(InputExample(guid=f'{mode}-{guid_index}' ,		words=lowercase ,		labels=lowercase					)					)
                              guid_index += 1
            return examples





      def        _snake_case     (			self ,		lowercase ,		lowercase ,		lowercase					)						->	Dict:
            lowerCAmelCase    		=			0
            for sentence in parse_incr(lowercase					):
                  lowerCAmelCase    		=			preds_list[example_id]
                  lowerCAmelCase    		=			""""""
                  for token in sentence:
                        out += f'{token["form"]} ({token["upos"]}|{s_p.pop(0					)}) '
                  out += "\n"
                  writer.write(lowercase					)
                  example_id += 1





      def        _snake_case     (			self ,		lowercase					)						->	List[str]:
            if path:
                  with open(lowercase ,		"""r"""					) as f:
                        return f.read().splitlines()
            else:
                  return [
                      "ADJ",
                      "ADP",
                      "ADV",
                      "AUX",
                      "CCONJ",
                      "DET",
                      "INTJ",
                      "NOUN",
                      "NUM",
                      "PART",
                      "PRON",
                      "PROPN",
                      "PUNCT",
                      "SCONJ",
                      "SYM",
                      "VERB",
                      "X",
                  ]













"""simple docstring"""





import json
from typing import Dict, List, Optional, Tuple, Union

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .tokenization_led import LEDTokenizer


SCREAMING_SNAKE_CASE__   =  logging.get_logger(__name__)


SCREAMING_SNAKE_CASE__   =  {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

SCREAMING_SNAKE_CASE__   =  {
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

SCREAMING_SNAKE_CASE__   =  {
    "allenai/led-base-16384": 16_384,
}

class 						lowercase   (   _UpperCAmelCase   ):
      _SCREAMING_SNAKE_CASE							      = VOCAB_FILES_NAMES
      _SCREAMING_SNAKE_CASE							      = PRETRAINED_VOCAB_FILES_MAP
      _SCREAMING_SNAKE_CASE							      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _SCREAMING_SNAKE_CASE							      = LEDTokenizer
      _SCREAMING_SNAKE_CASE							      = ['input_ids', 'attention_mask']





      def __init__(			self ,		lowercase=None ,		lowercase=None ,		lowercase=None ,		lowercase="replace" ,		lowercase="<s>" ,		lowercase="</s>" ,		lowercase="</s>" ,		lowercase="<s>" ,		lowercase="<unk>" ,		lowercase="<pad>" ,		lowercase="<mask>" ,		lowercase=False ,		lowercase=True ,		**lowercase ,		)						->	Any:
            super().__init__(
                lowercase ,		lowercase ,		tokenizer_file=lowercase ,		errors=lowercase ,		bos_token=lowercase ,		eos_token=lowercase ,		sep_token=lowercase ,		cls_token=lowercase ,		unk_token=lowercase ,		pad_token=lowercase ,		mask_token=lowercase ,		add_prefix_space=lowercase ,		trim_offsets=lowercase ,		**lowercase ,		)

            lowerCAmelCase    		=			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
            if pre_tok_state.get("""add_prefix_space""" ,		lowercase					) != add_prefix_space:
                  lowerCAmelCase    		=			getattr(lowercase ,		pre_tok_state.pop("""type"""					)					)
                  lowerCAmelCase    		=			add_prefix_space
                  lowerCAmelCase    		=			pre_tok_class(**lowercase					)

            lowerCAmelCase    		=			add_prefix_space

            # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
            lowerCAmelCase    		=			"""post_processor"""
            lowerCAmelCase    		=			getattr(self.backend_tokenizer ,		lowercase ,		lowercase					)
            if tokenizer_component_instance:
                  lowerCAmelCase    		=			json.loads(tokenizer_component_instance.__getstate__()					)

                  # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
                  if "sep" in state:
                        lowerCAmelCase    		=			tuple(state["""sep"""]					)
                  if "cls" in state:
                        lowerCAmelCase    		=			tuple(state["""cls"""]					)

                  lowerCAmelCase    		=			False

                  if state.get("""add_prefix_space""" ,		lowercase					) != add_prefix_space:
                        lowerCAmelCase    		=			add_prefix_space
                        lowerCAmelCase    		=			True

                  if state.get("""trim_offsets""" ,		lowercase					) != trim_offsets:
                        lowerCAmelCase    		=			trim_offsets
                        lowerCAmelCase    		=			True

                  if changes_to_apply:
                        lowerCAmelCase    		=			getattr(lowercase ,		state.pop("""type"""					)					)
                        lowerCAmelCase    		=			component_class(**lowercase					)
                        setattr(self.backend_tokenizer ,		lowercase ,		lowercase					)





      @property
      # Copied from transformers.models.bart.tokenization_bart_fast.BartTokenizerFast.mask_token with BART->LED
      def        _snake_case     (			self					)						->	str:
            if self._mask_token is None:
                  if self.verbose:
                        logger.error("""Using mask_token, but it is not set yet."""					)
                  return None
            return str(self._mask_token					)





      @mask_token.setter
      def        _snake_case     (			self ,		lowercase					)						->	Optional[int]:
            lowerCAmelCase    		=			AddedToken(lowercase ,		lstrip=lowercase ,		rstrip=lowercase					) if isinstance(lowercase ,		lowercase					) else value
            lowerCAmelCase    		=			value





      def        _snake_case     (			self ,		*lowercase ,		**lowercase					)						->	BatchEncoding:
            lowerCAmelCase    		=			kwargs.get("""is_split_into_words""" ,		lowercase					)

            if is_split_into_words and not self.add_prefix_space:
                  raise ValueError(
                      f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
                      """to use it with pretokenized inputs."""					)

            return super()._batch_encode_plus(*lowercase ,		**lowercase					)





      def        _snake_case     (			self ,		*lowercase ,		**lowercase					)						->	BatchEncoding:
            lowerCAmelCase    		=			kwargs.get("""is_split_into_words""" ,		lowercase					)

            if is_split_into_words and not self.add_prefix_space:
                  raise ValueError(
                      f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
                      """to use it with pretokenized inputs."""					)

            return super()._encode_plus(*lowercase ,		**lowercase					)





      def        _snake_case     (			self ,		lowercase ,		lowercase = None					)						->	Tuple[str]:
            lowerCAmelCase    		=			self._tokenizer.model.save(lowercase ,		name=lowercase					)
            return tuple(lowercase					)





      def        _snake_case     (			self ,		lowercase ,		lowercase=None					)						->	Any:
            lowerCAmelCase    		=			[self.bos_token_id] + token_ids_a + [self.eos_token_id]
            if token_ids_a is None:
                  return output

            return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





      def        _snake_case     (			self ,		lowercase ,		lowercase = None					)						->	List[int]:
            lowerCAmelCase    		=			[self.sep_token_id]
            lowerCAmelCase    		=			[self.cls_token_id]

            if token_ids_a is None:
                  return len(cls + token_ids_a + sep					) * [0]
            return len(cls + token_ids_a + sep + sep + token_ids_a + sep					) * [0]





      def        _snake_case     (			self ,		lowercase ,		lowercase = None ,		lowercase = PaddingStrategy.DO_NOT_PAD ,		lowercase = None ,		lowercase = None ,		)						->	dict:
            lowerCAmelCase    		=			super()._pad(
                encoded_inputs=lowercase ,		max_length=lowercase ,		padding_strategy=lowercase ,		pad_to_multiple_of=lowercase ,		return_attention_mask=lowercase ,		)

            # Load from model defaults
            if return_attention_mask is None:
                  lowerCAmelCase    		=			"""attention_mask""" in self.model_input_names

            if return_attention_mask and "global_attention_mask" in encoded_inputs:
                  lowerCAmelCase    		=			encoded_inputs[self.model_input_names[0]]
                  # `global_attention_mask` need to have the same length as other (sequential) inputs.
                  lowerCAmelCase    		=			len(encoded_inputs["""global_attention_mask"""]					) != len(lowercase					)

                  if needs_to_be_padded:
                        lowerCAmelCase    		=			len(lowercase					) - len(encoded_inputs["""global_attention_mask"""]					)

                        if self.padding_side == "right":
                              # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                              lowerCAmelCase    		=			(
                                  encoded_inputs["""global_attention_mask"""] + [-1] * difference
                              )
                        elif self.padding_side == "left":
                              lowerCAmelCase    		=			[-1] * difference + encoded_inputs[
                                  """global_attention_mask"""
                              ]
                        else:
                              raise ValueError("""Invalid padding strategy:""" + str(self.padding_side					)					)

            return encoded_inputs






